[Edaily Reporter Hyera Lee ] #SeouLinBioscience CO., LTD. is expanding its high-value-added research support services—which span from research design and analysis to data provision—by leveraging its expertise in the distribution of bio-research equipment and reagents.

SeouLinBioscience CO., LTD. announced on the 26th that, in collaboration with global life sciences company Revvity, it has officially launched an ultra-high-sensitivity immunoassay service and is providing commercial services through the POCUS platform.
This official certification is particularly significant as it marks the first global instance in which Revvity has established an officially certified analytical service center model in collaboration with an external partner.
POCUS, SeouLinBioscience CO., LTD.’s customized analytical service platform, goes beyond simple contract analysis to introduce a LaaS (Lab-as-a-Service)-based research support model that includes consultation on assay design, optimization of experimental conditions, and the provision of analytical reports and raw data. Researchers can receive high-sensitivity immunoassay services through POCUS simply by providing their samples and research objectives, without having to procure expensive analytical equipment themselves.
Recently, in the fields of bio-research and new drug development, various types of drug candidates—including small-molecule compounds, antibody-drug conjugates (ADCs), and targeted protein degraders (TPDs)—are gaining attention. Consequently, demand is rapidly increasing for advanced research and analytical services capable of verifying whether development candidates exhibit actual biological activity and precisely analyzing the interactions between drugs and disease-related target proteins.
SeouLinBioscience CO., LTD. stated, “We will more efficiently support the demand for advanced analysis within Korea and continuously expand our service scope by establishing an integrated research support platform that connects omics analysis, immunological testing, and AI-based data interpretation.”